Power Quality Profile Enhancement of Utility Connected Microgrid System Using ANFIS-UPQC

Abstract

This paper investigates compensation of power quality issues of utility connected microgrid system using unified power quality conditioner (UPQC) device. A very important task on integration of utility and microgrid is the power flow management and compensation of power quality (PQ) distortions. Among all power quality distortions, the voltage drop and harmonic distortions are serious PQ distortion occur in the utility and customer side respectively. The UPQC is a promising device to compensate both utility and customer side PQ distortions. The compensation capability of the traditional UPQC device is limited by the DC link voltage regulation using conventional PI controller. In proposed control technique, the compensation capability of the UPQC device is enhanced by an adaptive neuro fuzzy inference system (ANFIS)based reference DC link voltage estimation and DC link voltage regulation. The ANFIS is trained off-line and implemented in the online simulation. Finally, the proposed ANFIS based UPQC is investigated for compensating PQ distortions originated in utility connected microgrid through an exhaustive simulation in MATLAB/SIMULINK platform.